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Databricks Data Engineer Jobs in Detroit, MI (NOW HIRING)

Work closely with architects and engineering teams to guide data, analytics, and AI solution design ... Databricks * Data Engineering / Data Platforms * AI/ML Programs * Proven experience managing global ...

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

The AI & Data Analytics Team is looking for a Senior Data Engineer to join our team. In this role ... Experience with Databricks notebook workflows * Experience with Terraform

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

This role combines DevOps, automation, and data engineering, with exposure to modern data platforms like Databricks, to enable reliable application delivery and data-driven platforms. This role ...

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models, data flow diagrams, and data architecture ...

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Cost Methods, Tools & Data Solutions (CMTD) is seeking a Data Engineer , preferably with a finance ... Databricks * Palantir Foundry * SQL * Microsoft Power Platform (Power Apps, Power Automate, Power ...

Palantir, Data Engineer

Detroit, MI · Remote

$113K - $135K/yr

Technical experience with Foundry, Databricks, Snowflake is preferred, but not required. A ... Ideal candidate will have: * 1+ years in stakeholder-facing Data Engineering/Data Analytics ...

Palantir, Data Engineer

Detroit, MI · Remote

$113K - $135K/yr

Technical experience with Foundry, Databricks, Snowflake is preferred, but not required. A ... Ideal candidate will have: * 1+ years in stakeholder-facing Data Engineering/Data Analytics ...

... Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models and data flow diagrams ...

Senior Data Engineer

Southfield, MI

$97K - $132K/yr

Configures, validates, and implements various Azure tools such as but not limited to Databricks ... data file formats and compression techniques * Experience with CI/CD processes and Azure DevOps * ...

Senior Data Engineer

Southfield, MI · On-site

$97K - $132K/yr

Configures, validates, and implements various Azure tools such as but not limited to Databricks ... data file formats and compression techniques * Experience with CI/CD processes and Azure DevOps * ...

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and future business needs - Developing and documenting data ...

Senior Data Engineer

Southfield, MI · On-site

$97K - $132K/yr

Configures, validates, and implements various Azure tools such as but not limited to Databricks ... data file formats and compression techniques * Experience with CI/CD processes and Azure DevOps * ...

Data Engineer

Auburn Hills, MI · On-site

$113K - $135K/yr

This role combines DevOps, automation, and data engineering, with exposure to modern data platforms like Databricks, to enable reliable application delivery and data-driven platforms. This role ...

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Stellantis is looking for a Senior Data Engineer to join their AI & Data Analytics Team. In this ... Experience with AWS, Azure, or GCP data services (e.g., EMR, Glue, Databricks). • Data Modeling:

Data Engineer

Plymouth, MI · On-site

$120K/yr

Build scalable lakehouse pipelines on Azure Databricks using PySpark, Spark SQL, and Delta Lake ... Degree in Computer Science, Data Engineering, or related field (or equivalent experience). * Proven ...

Build scalable lakehouse pipelines on Azure Databricks using PySpark, Spark SQL, and Delta Lake ... Degree in Computer Science, Data Engineering, or related field (or equivalent experience). * Proven ...

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Databricks Data Engineer information

See Detroit, MI salary details

$40.7K

$118.7K

$162.4K

How much do databricks data engineer jobs pay per year?

As of Jul 10, 2026, the average yearly pay for databricks data engineer in Detroit, MI is $118,689.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,800.00 and $125,800.00 per year, depending on experience, location, and employer.

What is a Databricks Data Engineer job?

A Databricks Data Engineer is responsible for designing, building, and maintaining scalable data pipelines on the Databricks platform. They work with Apache Spark, Delta Lake, and cloud services to process large datasets efficiently. Their role involves data ingestion, transformation, optimization, and ensuring data quality for analytics and machine learning. Additionally, they collaborate with data scientists, analysts, and business teams to deliver reliable data solutions.

What does a typical day look like for a Databricks Data Engineer?

A typical day for a Databricks Data Engineer involves developing and maintaining scalable data pipelines, optimizing big data workflows using Spark, and collaborating with data scientists, analysts, and other engineers. You will regularly work within cloud environments to manage and process large datasets, conduct troubleshooting, and ensure data reliability and performance. Daily tasks may also include writing code, participating in team meetings, and implementing best practices for data security and governance. This role is highly collaborative, requiring frequent communication to align on project goals and address any technical challenges. The dynamic, project-based structure helps expand your skills and offers growth opportunities into senior engineering or data architecture roles.

What are the key skills and qualifications needed to thrive in the Databricks Data Engineer position, and why are they important?

To thrive as a Databricks Data Engineer, you need strong expertise in data engineering concepts, big data processing, and programming languages such as Python, Scala, or SQL, often supported by a degree in computer science or a related field. Proficiency in Databricks, Apache Spark, cloud platforms (like AWS, Azure, or GCP), and relevant certifications such as Databricks Certified Data Engineer are highly valued. Effective problem-solving, collaboration, and clear communication skills help engineers work efficiently within cross-functional teams. These skills are essential for designing scalable data pipelines, ensuring data quality, and delivering actionable analytics in dynamic business environments.

What are the most commonly searched types of Databricks Data Engineer jobs in Detroit, MI? The most popular types of Databricks Data Engineer jobs in Detroit, MI are:
What are popular job titles related to Databricks Data Engineer jobs in Detroit, MI? For Databricks Data Engineer jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Databricks Data Engineer jobs in Detroit, MI look for? The top searched job categories for Databricks Data Engineer jobs in Detroit, MI are:
Infographic showing various Databricks Data Engineer job openings in Detroit, MI as of July 2026, with employment types broken down into 70% Full Time, and 30% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $118,689 per year, or $57.1 per hour.
Senior Databricks Data Engineer

Senior Databricks Data Engineer

Clarkston Consulting

Detroit, MI • On-site

$104K - $142K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Job description

This job is posted in multiple locations. When not at a client site, consultants work from their home office. Relocation is not required.

Clarkston Consulting is seeking motivated, self-driven leaders who are energized by team results and interested in joining a firm that values its culture and people as its biggest strengths. Come join us as a Senior Databricks Data Engineer, and in this role, you will deliver creative business solutions to our market-leading clients in the life sciences, consumer products, and retail industries.

Together, we can find the answers to our clients' most challenging business problems through a combination of our industry expertise, business process knowledge, and consulting excellence.

What You'll Do 

As a Senior Databricks Data Engineer at Clarkston you will:

  • Support our solution architects, software developers, data analysts and data scientists on data and analytics initiatives
  • Serve in a lead capacity on client initiatives
  • Ensure optimal data delivery architecture is consistent throughout ongoing projects
  • Be self-directed and comfortable supporting the data needs of multiple teams, systems and products
  • Be excited by the prospect of building our company's data engineering capabilities to support our next generation of products and data initiatives
  • Lead, grow, and mentor a data engineering team in developing, maintaining, and monitoring data solutions for clients
  • Assist in defining client solutions and support managing their delivery

How You'll Grow
Beyond your day-to-day responsibilities, throughout your career at Clarkston you will:

  • Receive the support and mentorship of your Clarkston colleagues and leaders
  • Expand your existing skillset with internal and external professional development opportunities

Requirements

What We're Looking For:

An ideal Senior Data Engineer candidate would have experience:

  • Designing, developing, and implementing data engineering solutions using Databricks on cloud platforms
  • Strong programming skills for data processing and automation in Python
  • Skilled in developing and maintaining data pipelines and workflows in Databricks using Python
  • Assembling large, complex data sets that meet functional / non-functional business requirements
  • Identifying, designing, and implementing internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Leveraging the appropriate infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and 'big data' technologies.
  • Building analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
  • Working with stakeholders including the Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs

Additional Qualifications:

  • 3+ years of experience in a Databricks Data Engineer role
  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
  • Experience building and optimizing 'big data' data pipelines, architectures and data sets
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
  • Strong analytic skills related to working with unstructured datasets
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management
  • A successful history of manipulating, processing, and extracting value from large, disconnected datasets
  • Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores
  • Experience supporting and working with cross-functional teams in a dynamic environment
  • Experience with Azure or AWS cloud services
  • Experience with object-oriented/object function scripting languages such as Scala, Python, Java, and / or C++
  • Graduate degree in Computer Science, Statistics, Informatics, Information Systems or an equivalent field

Travel Requirement
Travel is an integral part of this role and is estimated to average 30-50%. This may vary based upon client and project needs. When not traveling, consultants work from their home office. Relocation is not required.

More About Clarkston

Founded in 1991, Clarkston Consulting delivers technology and management solutions to market leaders in the life sciences, consumer products, and retail industries. At Clarkston, we cultivate success - for our clients, for our people, and for our firm. We utilize a team approach leveraging our collective expertise and industry knowledge to solve our clients' business challenges.

AI Statement

Clarkston values thoughtful and responsible AI use for resume writing, interview preparation, and research. However, real-time use of AI to generate or script answers during interviews - including video or live conversations - is strictly prohibited and will lead to disqualification. We seek candidates who show authenticity, good judgment, and genuine engagement throughout the process.

Benefits

Our benefits include:

  • Comprehensive Health and Wellness Benefits (Medical, Dental, Vision, and more)
  • 401k with company contributions
  • Paid vacation, personal days, holidays, and sick leave
  • Paid Parental Leave and Family Building Benefits (Adoption, Surrogacy, and Infertility Support)
  • Life and Disability Insurance
  • Training and Professional Development investments, Tuition Assistance, and more

We strive to ensure that every candidate has an equitable and accessible experience. If you are selected to move forward in the interview process, we will share information about how to request any accommodations. You may also request support at any point during the hiring process.

Visit Careers at Clarkston to learn more about our culture, benefits, and opportunities.

Clarkston Consulting is an equal opportunity employer. We are committed to ensuring our firm is rich in diverse skills, competencies, strengths, personalities, and culture. We foster an inclusive environment that embraces the unique contributions of our people to further our purpose. Please visit Diversity @ Clarkston to learn more about our diversity initiatives.